DocumentCode :
749927
Title :
Computational feasibility of structured matching
Author :
Goel, Ashok ; Bylander, Tom
Author_Institution :
Dept. of Comput. & Inf. Sci., Ohio State Univ., Columbus, OH, USA
Volume :
11
Issue :
12
fYear :
1989
fDate :
12/1/1989 12:00:00 AM
Firstpage :
1312
Lastpage :
1316
Abstract :
Structured matching is a task-specific technique for selecting one choice out of a small number of alternatives based on a given set of parameters. In structured matching, the knowledge and control for making a decision are integrated within a hierarchical structure. Each node in the hierarchy corresponds to a different aspect of the decision and contains knowledge for directly mapping the results of its children nodes (or selected parameters) into a choice on the subdecision. The root node selects the final choice for the decision. The authors formally characterize the task and strategy of structured matching and analyze its computational complexity. They believe that structured matching captures the essence of what makes a range of decision-making problems computationally feasible to solve
Keywords :
computational complexity; knowledge engineering; pattern recognition; computational complexity; decision-making problems; hierarchical structure; knowledge engineering; pattern recognition; structured matching; Artificial intelligence; Blood; Computational complexity; Decision making; Heart; Information science; Knowledge based systems; Laboratories; Lungs; Military computing;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.41369
Filename :
41369
Link To Document :
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